Debugging in Parallel Export

@inproceedings{citeulike:2291435, abstract = {The presence of multiple faults in a program can inhibit the ability of fault-localization techniques to locate the faults. This problem occurs for two reasons: when a program fails, the number of faults is, in general, unknown; and certain faults may mask or obfuscate other faults. This paper presents our approach to solving this problem that leverages the well-known advantages of parallel work flows to reduce the time-to-release of a program. Our approach consists of a technique that enables more effective debugging in the presence of multiple faults and a methodology that enables multiple developers to simultaneously debug multiple faults. The paper also presents an empirical study that demonstrates that our parallel-debugging technique and methodology can yield a dramatic decrease in total debugging time compared to a one-fault-at-a-time, or conventionally sequential , approach.}, address = {New York, NY, USA}, author = {Jones, James A. and Bowring, James F. and Harrold, Mary J.}, booktitle = {ISSTA '07: Proceedings of the 2007 international symposium on Software testing and analysis}, citeulike-article-id = {2291435}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1273468}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1273463.1273468}, doi = {10.1145/1273463.1273468}, isbn = {978-1-59593-734-6}, keywords = {se-traceing, se-tracing}, location = {London, United Kingdom}, pages = {16--26}, posted-at = {2009-10-16 11:04:56}, priority = {2}, publisher = {ACM}, title = {Debugging in Parallel}, url = {http://dx.doi.org/10.1145/1273463.1273468}, year = {2007} }

TY - CONF ID - citeulike:2291435 L3 - citeulike-article-id:2291435 N2 - The presence of multiple faults in a program can inhibit the ability of fault-localization techniques to locate the faults. This problem occurs for two reasons: when a program fails, the number of faults is, in general, unknown; and certain faults may mask or obfuscate other faults. This paper presents our approach to solving this problem that leverages the well-known advantages of parallel work flows to reduce the time-to-release of a program. Our approach consists of a technique that enables more effective debugging in the presence of multiple faults and a methodology that enables multiple developers to simultaneously debug multiple faults. The paper also presents an empirical study that demonstrates that our parallel-debugging technique and methodology can yield a dramatic decrease in total debugging time compared to a one-fault-at-a-time, or conventionally sequential , approach. CY - London, United Kingdom SN - 978-1-59593-734-6 AD - New York, NY, USA EP - 26 TI - Debugging in Parallel PB - ACM T2 - ISSTA '07: Proceedings of the 2007 international symposium on Software testing and analysis SP - 16 KW - se-traceing KW - se-tracing AU - Jones, James AU - Bowring, James AU - Harrold, Mary PY - 2007/// UR - http://dx.doi.org/10.1145/1273463.1273468 ER -